Hot deformation behavior and physical-based constitutive modelling under plane-stress state for Nickle-based superalloy sheets

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Hot deformation behavior and physical-based constitutive modelling under plane-stress state for Nickle-based superalloy sheets | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Hot deformation behavior and physical-based constitutive modelling under plane-stress state for Nickle-based superalloy sheets Shihao Wu, Xuexin Chen, Zhennan Bao, Liwei Xie, Bo Yang, Kailun Zheng, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4220334/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 07 Aug, 2024 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 4 You are reading this latest preprint version Abstract Forming limit curves at high temperatures under plane stress states is beneficial for guiding the process parameter design of hot forming superalloy sheets. Constrained by the high deformation temperatures, the establishment of FLCs of superalloy sheet at high temperatures are extremely diffiuclt. This paper conducts an experimental and modelling research establish the physical based model with the accurate prediction of hot flow behavior as well as micro grain sizes, using which, the forming limit curves can be predicted. First, the uniaxial tensile tests under different temperatures and strain rates and EBSD observations of typical conditions were conducted to obtain the hot flow behavior and grain evolution. Second, the dome test at room temperature was performed, and corresponding simulation was further carried out to obtain the forming limit at room temperature under plane stress states. Using the above results, a plane-stress constitutive model for GH3128 superalloy was established enabling plane-stress test results under typical hot conditions to be accurately predicted. The prediction accuracy of hot uniaxial and biaxial stretching results are 94.2% and 95.4%, respectively. GH3128 Nickle-based superalloy hot deformation physical-based model grain evolution forming limit Full Text Cite Share Download PDF Status: Published Journal Publication published 07 Aug, 2024 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Reviewers agreed at journal 05 Apr, 2024 Reviewers invited by journal 05 Apr, 2024 Editor assigned by journal 05 Apr, 2024 First submitted to journal 04 Apr, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4220334","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":288004649,"identity":"ea155900-5e89-4eee-ae9b-e7d0f0f87268","order_by":0,"name":"Shihao Wu","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Shihao","middleName":"","lastName":"Wu","suffix":""},{"id":288004650,"identity":"a7724d1d-086c-4b8e-b460-2f44c1300264","order_by":1,"name":"Xuexin 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